---
license: creativeml-openrail-m
tags:
- coreml
- stable-diffusion
- text-to-image
- not-for-all-audiences
---
# Core ML Converted SDXL Model:
- This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).
- Provide the model to an app such as **Mochi Diffusion** [Github](https://github.com/godly-devotion/MochiDiffusion) / [Discord](https://discord.gg/x2kartzxGv) to generate images.
- `original` version is only compatible with `CPU & GPU` option.
- Resolution is the `SDXL` default of `1024x1024`.
- This model was converted with a `vae-encoder` for use with `image2image`.
- This model is quantized to `8-bits`.
- Descriptions are posted as-is from original model source.
- Not all features and/or results may be available in `CoreML` format.
- This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
- This model does not include a `safety checker` (for NSFW content).
- This model can not be used with ControlNet.
# DreamShaper-XL1.0-Alpha2_SDXL_8-bit:
Source(s): [CivitAI](https://civitai.com/models/112902/dreamshaper-xl10)
## This is an SDXL base model converted and quantized to 8-bits.
Finetuned over SDXL1.0.
Even if this is still an alpha version, I think it's already much better compared to the first alpha based on xl0.9.
Basically I do the first gen with DreamShaperXL, then I upscale to 2x and finally I do an img2img step with either DreamShaperXL itself, or a 1.5 model that I find suited, such as DreamShaper7 or AbsoluteReality.
What does it do better than SDXL1.0?
No need for refiner. Just do highres fix (upscale+i2i)
Better looking people
Less blurry edges
75% better dragons 🐉
Better NSFW
